RSC Advances · 2023 · 34 citations · 51 references
Novel azobenzene scaffold-joined heterocyclic isoxazole, pyrazole, triazole, and/or triazine moieties have been developed and synthesized utilizing microwave and traditional methods. Our compounds were tested for growth inhibition of A549, MCF-7, HCT-116, and HepG2 tumors by dual targeting the VEGFR-2 and EGFR<sup>T790M</sup> enzymes. The suggested compound's manner of binding with EGFR<sup>T790M</sup> and VEGFR-2 active sites was explored through molecular design and MD modeling. The information from the results of the biological screening and the docking studies was highly correlated. The A549 cell line was the one that responded to the novel compound's effects most effectively. Having IC<sub>50</sub> values of 5.15, 6.37, 8.44 and 6.23 μM, respectively, 14 was the most effective derivative on the four A549, MCF-7, HCT116 and HepG2 cancer cells. It had greater activity than erlotinib and slightly inferior activities on the tested cell lines than sorafenib, respectively. The cytotoxicity of the most effective derivatives, 5, 6, 10 and 14, was evaluated against typical VERO cell lines. Having IC<sub>50</sub> values ranging from 42.32 to 55.20 μM, the results showed that the investigated drugs have modest toxicity against VERO normal cells. Additionally all derivatives were assessed for their dual VEGFR-2 and EGFR<sup>T790M</sup> inhibitory effects. Among them, derivatives 14, 5 and 10 were established as the greatest inhibitors of VEGFR-2 at IC<sub>50</sub> values of 0.95, 1.25 and 1.50 μM correspondingly. As well, derivatives 14, 6, 5 and 10 could inhibit EGFR<sup>T790M</sup> activity demonstrating strongest effects with IC<sub>50</sub> = 0.25, 0.35, 0.40 and 0.50 μM respectively. Furthermore, the ADMET profile was evaluated for compounds 5, 6, 10 and 14 in contrast to reference drugs sorafenib and erlotinib.
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Development and testing of a general amber force field
Junmei Wang, Romain M. Wolf, James W. Caldwell et al. · Journal of Computational Chemistry · 2004 · 18.8K citations
Christopher A. Lipinski, Franco Lombardo, Beryl W. Dominy et al. · Advanced Drug Delivery Reviews · 1997 · 11K citations
Development Settings, Pharmaceutical Science, Drug Target +8
ff14SB: Improving the Accuracy of Protein Side Chain and Backbone Parameters from ff99SB
James Maier, Carmenza Martinez, Koushik Kasavajhala et al. · Journal of Chemical Theory and Computation · 2015 · 10.6K citations · Full text
Structural Bioinformatics, Biomolecular Structure Prediction, Amber Ff12sb Parameter +24